A hybrid transform method for image denoising

Ben Zion Shaick; Leonid Ridel; Leonid Yaroslavsky

A hybrid transform method for image denoising

Ben Zion Shaick, Leonid Ridel, Leonid Yaroslavsky

Interdisciplinary Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Image filtering in moving window in DCT domain has proven its capability in image edge preserving denosing. For the highest noise suppression capability, such a filtering requires, in principle, optimal selection of the size of the moving window for each particular image. In order to overcome this drawback, a combination of signal wavelet expansion (sub band decomposition) and moving window filtering in DCT domain is suggested and experimentally tested on a number on synthetic and real life images.

Original language	English
Article number	7075838
Journal	European Signal Processing Conference
Volume	2015-March
Issue number	March
State	Published - 31 Mar 2000
Event	2000 10th European Signal Processing Conference, EUSIPCO 2000 - Tampere, Finland Duration: 4 Sep 2000 → 8 Sep 2000

Cite this

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AU - Yaroslavsky, Leonid

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A hybrid transform method for image denoising

Abstract

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